Data Engineer II

McLane is seeking a skilled Data Engineer II to design, build, and optimize scalable data solutions that support analytics, reporting, and advanced business intelligence initiatives. This hybrid role requires working on‑site at least three days per week and is open to candidates within a 50‑minute radius of Temple, TX.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes to support enterprise data initiatives.
• Build and optimize data integrations from multiple internal and external sources, ensuring data quality, integrity, and reliability.
• Develop and manage data models, data warehouses, and data lakes that support reporting, analytics, and operational workloads.
• Implement data engineering best practices, including automation, monitoring, testing, and performance optimization.
• Work with cloud‑based data platforms and services in Azure and/or GCP environments.
• Support DataOps practices, including CI/CD pipelines, orchestration, and infrastructure automation.
• Partner with data analysts, data scientists, business stakeholders, and application teams to understand requirements and deliver scalable data solutions.
• Troubleshoot and resolve data issues while ensuring compliance with data governance and security standards.
• Document processes, architectures, and technical solutions to support maintainability and knowledge sharing.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 3–5 years of progressive experience in data engineering, data integration, or related technical roles.

Skills

• Strong experience with SQL, Python, and modern data engineering frameworks and tools.
• Experience developing and maintaining large‑scale data pipelines and data integration solutions.
• Knowledge of data warehousing, data modeling, ETL/ELT processes, and database design principles.
• Experience with cloud data platforms and services in Azure and/or GCP.
• Experience with DataOps practices, CI/CD pipelines, workflow orchestration, and automated testing.
• Experience working with big data technologies, distributed processing frameworks, or cloud‑native data architectures (preferred).
• Strong analytical and problem‑solving skills with the ability to translate business requirements into technical solutions.
• Excellent communication and collaboration skills with both technical and non‑technical stakeholders.
• Ability to read, write, and understand English at a level sufficient to perform job‑related tasks safely.

Benefits

• Medical, dental, and vision insurance (effective Day 1).
• Flexible Spending Account (FSA) / Health Savings Account (HSA) options.
• Company‑paid life insurance.
• Paid time off begins on Day 1.
• 401(k) profit‑sharing plan after 90 days.
• Pet insurance.
• Maternity/paternity leave.
• Employee assistance programs.
• Discount programs.
• Tuition reimbursement program.
• Additional benefits and perks.

Schedule

Full‑time, 1st‑shift (Day) schedule.